Steady state clusters and the Rath-Toth mean field forest fire model
Edward Crane

TL;DR
This paper introduces the steady state cluster, a recursive random tree, and constructs a related growth process, conjecturing its connection to the stationary state of the mean field forest fire model, with detailed structural and probabilistic analysis.
Contribution
It defines the steady state cluster and growth process, explores their properties, and links them to the Ráth-Tóth forest fire model through conjectures and structural characterizations.
Findings
The steady state cluster is characterized as a recursive random tree.
The growth process has a fixed-point property and a stationary distribution.
Connections to the Ráth-Tóth forest fire model are conjectured and analyzed.
Abstract
We introduce a random finite rooted tree , the steady state cluster, characterized by a recursive description: is a singleton with probability and otherwise is obtained by joining by an edge the roots of two independent trees and , each having the law of , then re-rooting the resulting tree at a uniform random vertex. We construct a stationary regenerative stochastic process , the steady state cluster growth process. It is characterized by a simple fixed-point property. Its stationary distribution is the law of the steady state cluster . We conjecture that is the local limit of the evolution of the cluster of a tagged vertex in the stationary state of the mean field forest fire model of R\'ath and T\'oth. We describe its explosions in terms of a L\'evy…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Financial Risk and Volatility Modeling
